I’m a research scientist at ByteDance AI Lab working on fairness, transparency, security, and privacy in machine learning systems.
I obtained my Ph.D. in Computer Science from University of Chicago, advised by Prof. Ben Zhao and Prof. Heather Zheng. Previously I received three B.S. degrees in Computer Science, Mathematics, and Statistics from University of Minnesota-Twin Cities.
I interned at Google with security and ads team. I received Siebel Scholarship.
I publish papers in top conferences like IEEE S&P, CCS, USENIX Security, MobiSys, IMC, and WWW. My work is covered by a number of mainstream media outlets, e.g. WIRED, Business Insider, Scientific American, Forbes, Fortune, The Verge, Engadget, New York Post, and Nvidia etc.